Using Gemini 3.5 Flash on Google AI Studio
Implementation guide · Gemini 3.5 · Google DeepMind
Serverless
Quick Start
- 1
- 2Use the Google AI Studio SDK or REST API to call
gemini-3.5-flash— see the documentation for request format. - 3You'll be billed $1.50/1M input, $9.00/1M output tokens.
Code Examples
Install
pip install google-genaiAPI key
GOOGLE_API_KEYModel ID
gemini-3.5-flashUse the model name directly, e.g. "gemini-2.0-flash", "gemini-1.5-pro", or "gemini-2.5-pro-preview-05-06".
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
model="gemini-3.5-flash",
contents="Hello"
)
print(response.text)About Google AI Studio
Google AI Studio is a model prototyping environment and API access point for Gemini models, offering an inference playground for developers to test and build AI applications.
Pricing on Google AI Studio
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.50 |
| Output tokens | $9.00 |
Capabilities
VisionMultimodalReasoningFunction CallingTool UseStructured OutputsCode ExecutionPrompt CachingBatch APIAudio
About Gemini 3.5 Flash
Gemini 3.5 Flash is Google DeepMind's generally available Flash model for sustained frontier-level performance on agentic and coding tasks. It supports multimodal inputs, native thinking, tool and function calling, structured outputs, code execution, search grounding, batch processing, and long contexts up to 1M tokens.
Model Specs
Released2026-05-19
Context1M
ArchitectureDecoder Only
Knowledge cutoff2025-01